Question: DATA ANALYSIS INFORMATION RECODE X1LOCALE (1=1) (ELSE=0) INTO City. VARIABLE LABELS City 'City'. EXECUTE. RECODE X1LOCALE (2=2) (ELSE=0) INTO Suburb. VARIABLE LABELS Suburb 'Suburb'. EXECUTE.

DATA ANALYSIS INFORMATION RECODE X1LOCALE (1=1) (ELSE=0) INTO City. VARIABLE LABELS City 'City'. EXECUTE. RECODE X1LOCALE (2=2) (ELSE=0) INTO Suburb. VARIABLE LABELS Suburb 'Suburb'. EXECUTE. RECODE X1LOCALE (3=3) (ELSE=0) INTO Town. VARIABLE LABELS Town 'Town'. EXECUTE. RECODE X1LOCALE (4=4) (ELSE=0) INTO Rural. VARIABLE LABELS Rural 'Rural'. EXECUTE. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) CIN(95) /NOORIGIN /DEPENDENT X1SES /METHOD=ENTER X1LOCALE C2NUMAPSCI /SCATTERPLOT=(*ZPRED ,*ZRESID) /RESIDUALS DURBIN HISTOGRAM(ZRESID) /SAVE COOK MCIN ICIN ZRESID. Variables Entered/Removeda Model Variables Variables Method Entered Removed Number of . Enter AP science courses 1 offered, T1 School locale (urbanicity)b a. Dependent Variable: T1 Socio-economic status composite b. All requested variables entered. ANOVAa df Model Sum of Mean F Sig. Squares Square Regression 441.954 2 220.977 370.968 .000b 1 Residual 9017.367 15138 .596 Total 9459.322 15140 a. Dependent Variable: T1 Socio-economic status composite b. Predictors: (Constant), Number of AP science courses offered, T1 School locale (urbanicity) Model 1 (Constant) Coefficientsa Unstandardized Standardized Coefficients Coefficients B Std. Error Beta .031 .019 t Sig. Collinearity Statistics Tolerance 1.608 .108 VIF T1 School locale -.061 .006 (urbanicity) Number of AP science .095 .004 courses offered a. Dependent Variable: T1 Socio-economic status composite -.086 -10.588 .000 .962 1.039 .183 22.563 .000 .962 1.039 Collinearity Diagnosticsa Model Dimension Eigenvalu Condition Variance Proportions e Index (Constant) T1 School Number of locale AP science (urbanicity) courses offered 1 2.639 1.000 .01 .02 .03 1 2 .292 3.009 .00 .26 .56 3 .069 6.174 .98 .72 .41 a. Dependent Variable: T1 Socio-economic status composite Predicted Value Std. Predicted Value Standard Error of Predicted Value Residuals Statisticsa Minimu Maximu Mean m m -.2141 .5410 .1186 -1.947 2.473 .000 .007 .021 .011 Std. Deviation .17085 1.000 .003 N 15141 15141 15141 Adjusted Predicted -.2148 .5420 .1186 Value Residual -2.19557 2.71969 .00000 Std. Residual -2.845 3.524 .000 Stud. Residual -2.845 3.524 .000 Deleted Residual -2.19655 2.72033 .00000 Stud. Deleted Residual -2.846 3.526 .000 Mahal. Distance .152 9.987 2.000 Cook's Distance .000 .001 .000 Centered Leverage .000 .001 .000 Value a. Dependent Variable: T1 Socio-economic status composite .17086 15141 .77175 1.000 1.000 .77190 1.000 1.507 .000 .000 15141 15141 15141 15141 15141 15141 15141 15141

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